[PDF] Top 20 A Study on Genetic Algorithm and Neural Network for Mini-Games
Has 10000 "A Study on Genetic Algorithm and Neural Network for Mini-Games" found on our website. Below are the top 20 most common "A Study on Genetic Algorithm and Neural Network for Mini-Games".
A Study on Genetic Algorithm and Neural Network for Mini-Games
... simulation and character control are two important issues in computer ...two games which are tailored for investigating some aspects of these two ...We study on the applications of ... See full document
15
Applying Genetic Algorithm and Neural Network to the Conjunctive Use of Surface and Subsurface Water
... model for conjunctive use management, has been developed in this study and a hybrid architecture, the combination of LP, GA and a recursive ANN, is also proposed in ...quantities ... See full document
27
Integrating Genetic Algorithm and Neural Network for the Reasons of Revisiting Frequency of Emergent Patients 黃堅展、陳郁文
... data for decision makers. Since the traffic condition is tense, and the patients of chronic and psychic disease become more and more, the emergency room（ER） is the busiest department in ... See full document
3
Evaluating the process of a genetic algorithm to improve the back-propagation network: A Monte Carlo study
... ARTIFICIAL NEURAL-NETWORKS; OPTIMIZATION; DESIGN; MODEL Abstract: Many studies have mapped a bit-string genotype using a genetic algorithm to represent network architectures to ... See full document
3
Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm
... This study proposes an integrated method using neural network, genetic algorithm, and desirability function to optimize the manufacturing process with multiple ...The ... See full document
10
Prediction of Tacrolimus blood levels by using the neural network with genetic algorithm in liver transplantation patients.
... The objectives of this study are to select the clinically significant variables and to predict the blood concentration of tacrolimus in liver transplant patients by NN combined with ge[r] ... See full document
1
A Genetic Algorithm with Adaptive Mutations and Family Competition for Training Neural Network
... Proposes a novel adaptive genetic algorithm (GA) extrapolated by an ant colony ...the algorithm converges to the unique global optimal solution with probability arbitrarily close to one ... See full document
1
An Integration Method of Artificial Neural Network and Genetic Algorithm for Structure Design of a Scooter
... artificial neural network (ANN) system and the genetic algorithms (GA) was ...simulations and experiments were carried out to analyze the deformation of a four-wheel scooter ... See full document
4
Optimal control algorithm and neural network for dynamic groundwater management
... displays a hypothetical and unconfined aquifer to demon- strate the algorithm performance described ...elements, and 5 pumping well locations. No-flow and constant-head boundaries (h ... See full document
9
A neural network-based adaptive algorithm on the single EWMA controller
... performance for small disturbances in the run-to-run ...effect on the controlled process ...eters on-line in order to have better performance. In this study, a simple and efficient ... See full document
8
Construct Neural Network Model Using Genetic Algorithm 廖鴻翰、陳木松
... thesis a new Genetic Algorithm to optimize weights and topology of Neural Networks is presented and compared with other learning methods, such as gradient-descent learning ... See full document
1
On-line genetic algorithm-based fuzzy-neural sliding mode controller using improved adaptive bound reduced-form genetic algorithm
... article, a novel on-line genetic algorithm-based fuzzy-neural sliding mode controller trained by an improved adaptive bound reduced-form genetic algorithm is developed to ... See full document
16
Genetic algorithm-based neural fuzzy decision tree for mixed scheduling in ATM networks
... use a mixed scheduling scheme to achieve high utilization under the hardware constraint in the ATM net- ...successful for every switch along the path of the call, the new call can be accepted by the ... See full document
14
Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm
... stable and optimal learning rate, in the sense of maximum error reduction, for each iteration in the training (back propagation) process can therefore be found for this two-layer ...rate for ... See full document
9
A Genetic Algorithm for Multiple Multicast on WDM Ring Network
... problems on a WDM network, mechanisms must be developed to handle not only point-to-point communication but also group communication involving transporting information in the ...network. ... See full document
19
A PARALLEL GENETIC/NEURAL NETWORK LEARNING ALGORITHM FOR MIMD SHARED-MEMORY MACHINES
... After a total of 100 iterations of the learning process, the system error in the parallel hybrid neural network learning algorithm converges to a value 6.5 x The s[r] ... See full document
10
A Genetic Algorithm for Network Expanded Problem in Wireless ATM Network
... the network expanded prob- lem which optimally assigns new adding and splitting cells in PCS (Personal Communication Service) network to switches in an ATM (Asynchronous Transfer Mode) ...xed ... See full document
12
A multiobjective hybrid genetic algorithm for the capacitated multipoint network design problem
... Hybrid Genetic Algorithm for the Capacitated Multipoint Network Design Problem Chi-Chun Lo, Member, IEEE, and Wei-Hsin Chang, Member, IEEE Abstract—The capacitated multipoint ... See full document
10
A neural network based context-aware handoff algorithm for multimedia computing
... stage for NNCH and a real-time stage to test the performance of various handoff decision ...SNR, and PSR associated with AP1, AP2, and AP3 respectively while 40-byte UDP packets are ... See full document
4
A STUDY ON CADASTRAL COORDINATE TRANSFORMATION USING ARTIFICIAL NEURAL NETWORK
... X and Y coordinates of any point give its position with respect to an arbitrarily selected pair of mutually perpendicular reference ...direction. And, the X axis runs east-west, with positive X being east ... See full document
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